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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM45157
Volume:
9 |
4 |
Apr 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Cryptocurrency markets are highly volatile, making accurate price prediction a challenging yet crucial task for traders and investors. This project presents an AI-powered cryptocurrency price prediction bot that integrates machine learning with the W.D. Gann algorithm. The AI model utilizes deep learning techniques, such as Long Short-Term Memory (LSTM) networks, to analyze market trends, while Gann’s time and price theories enhance the model’s predictive capabilities. By combining statistical analysis with geometric price patterns, the bot aims to provide reliable trading signals. The implementation is designed as a user-friendly application using Streamlit, allowing traders to visualize price trends and make informed decisions
KEYWORDS
Publication Date
4/25/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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